Learning “Healthy” Models for Healthcare
Date and time
Location
Medical Sciences Building, MS 3154
1 King's College Circle Toronto, ON M5S 1A8 CanadaDescription
Professor Ghassemi will discuss the current state and potential of machine learning for health.
Marzyeh Ghassemi is an Assistant Professor at the University of Toronto in Computer Science and Medicine, affiliated with the Vector Institute. Professor Ghassemi has a well-established academic track record in personal research contributions across computer science and clinical venues. Her PhD research at MIT focused on creating and applying machine learning algorithms towards improved prediction and stratification of relevant human risks with clinical collaborations at Beth Israel Deaconess Medical Center and Massachusetts General Hospital, encompassing unsupervised learning, supervised learning, and structured prediction. Her work has been applied to estimating the physiological state of patients during critical illnesses, modeling the need for a clinical intervention, and diagnosing phonotraumatic voice disorders from wearable sensor data.
Organized by
Institute of Health Policy, Management & Evaluation (IHPME) is best described as a community made whole by its many moving parts––students, faculty, alumni, healthcare researchers and a variety of providers, partners and professionals in the field. With over 300 students, 200 faculty and more than 100 senior healthcare executives in adjunct roles, IHPME is a wellspring of opportunity, learning and innovation.